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#Imageoptim fastest setting how to#

Much slower than other optimization methods (including lossy compression and WebP conversion as tested above).

Compatible with all browsers as the image remains a JPEG.

Keeps the same image extension (as opposed to WebP which requires you use a different image format).

Generates a smaller image size than other lossy compression methods.

Here are the pros and cons to using Guetzli: Pros On one hand, it offers better compression results than other JPEG optimization libraries out there, however on the other hand, takes painfully long to perform the actual optimization. Pros and cons of Guetzliīased on our findings and the built-in capabilities of Guetzli, we can clearly say that there are both pros and cons to using this JPEG encoder. Although WebP obviously requires a change in image format, which may not be suitable for everyone, it has the potential to provide webmasters with the ability to deliver images much faster. On the other hand, WebP generated file sizes that were smaller than both lossy and Guetzli except for test-2.jpg. Although the Guetzli optimized images were smaller than the lossy images every time, it took a considerable amount of time to do so.

On average, the amount of time it took to optimize these 4 images using Guetzli at a quality setting of 85 was 2 minutes and 31 seconds. For the purposes of this article, I will be installing the Guetzli algorithm based on the instructions outlined on GitHub for macOS using Homebrew.Īs we can see in the results above, WebP is the clear winner in most cases both in terms of speed and file size, except for test-2.jpg. Downloading and installing the Guetzli algorithm directly from GitHubĭepending upon which method you choose, the optimization process will vary.However, there are a few methods you can use to optimize your JPEG images with Guetzli, these include: It's still relatively new and therefore its adoption is still in the preliminary stages.

#Imageoptim fastest setting how to#

How to compress images with Guetzli?īefore getting into the comparison details, you may be wondering how exactly to compress images with Guetzli. This may or may not already be a deal breaker for you, however if not, check out the comparison tables in the section below to see how Guetzli stacks up against other image optimization methods. Now, although Google states that you can achieve smaller image sizes without sacrificing quality, the tradeoff with Guetzli is that it takes considerably longer to process images and it doesn't generate progressive JPEGs. As you can see, there are fewer artifacts in the Guetzli compressed image. The image on the far left is uncompressed, while the image on the far right uses Guetzli and the image in the middle uses libjpeg. To demonstrate the difference between using Guetzli to compress an image compared to libjpeg, Google provided the following image. Guetzli is fairly similar to Google's Zopfli algorithm in that it allows users to progress their images without having to introduce a new format. According to Google's release post, Guetzli can reduce JPEG image sizes by up to 35% more than other methods currently available. Guetzli, known as "cookie" in Swiss German, is Google's new JPEG encoder.

This article will go over what exactly Guetzli is, how to use it, and how it compares against other image optimization methods. Since optimizing images is an important topic in the web performance world, Google recently released a new way to optimize JPEG images, called Guetzli.

There are various methods you can use to optimize your images such as using lossy vs lossless compression or converting your images to another format like WebP or SVG. In fact, according to many web performance experts, reducing image sizes should be your number one priority to help improve overall performance. Images are one of the biggest contributors to web page size.